System and method of adjusting attributes of an application based at least on a stress index associated with a user

ABSTRACT

In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: if historical biometric data associated with a user is available is not available, collect the historical biometric data; if the historical biometric data is available, retrieve the historical biometric data; execute an application; display at least a portion of a graphic; determine that a gaze of the user includes the at least the portion of the graphic; determine a stress index threshold associated with the user; determine a stress index associated with the user, accounting for the at least the portion of the graphic exceeding the brightness threshold; determine that the stress index has reached or exceeded the stress index threshold; provide a notification indicating that the first stress index has reached or exceeded the stress index threshold; and reduce one or more stress inducing attributes associated with the application.

BACKGROUND Field of the Disclosure

This disclosure relates generally to information handling systems andmore particularly to adjusting attributes of an application based atleast on a stress index associated with a user.

Description of the Related Art

As the value and use of information continues to increase, individualsand businesses seek additional ways to process and store information.One option available to users is information handling systems. Aninformation handling system generally processes, compiles, stores,and/or communicates information or data for business, personal, or otherpurposes thereby allowing users to take advantage of the value of theinformation. Because technology and information handling needs andrequirements vary between different users or applications, informationhandling systems may also vary regarding what information is handled,how the information is handled, how much information is processed,stored, or communicated, and how quickly and efficiently the informationmay be processed, stored, or communicated. The variations in informationhandling systems allow for information handling systems to be general orconfigured for a specific user or specific use such as financialtransaction processing, airline reservations, enterprise data storage,or global communications. In addition, information handling systems mayinclude a variety of hardware and software components that may beconfigured to process, store, and communicate information and mayinclude one or more computer systems, data storage systems, andnetworking systems.

SUMMARY

In one or more embodiments, one or more systems, one or more methods,and/or one or more processes may determine if historical biometric dataassociated with a user is available; if the historical biometric dataassociated with the user is not available, may collect the historicalbiometric data associated with the user; if the historical biometricdata associated with the user is available, may retrieve the historicalbiometric data associated with the user from a memory medium; mayexecute, by at least one processor of an information handling system, anapplication; may display, by the application via a display, at least aportion of a graphic; may determine that the at least the portion of thegraphic exceeds a brightness threshold; may determine that a gaze of theuser includes the at least the portion of the graphic; may determine afirst stress index threshold based at least on a baseline stress index,which is determined from multiple mean health indicators from biometricdata from multiple people, and based at least on the historicalbiometric data associated with the user; may determine a first stressindex associated with the user, accounting for the at least the portionof the graphic exceeds the brightness threshold; may determine that thefirst stress index associated with the user has reached or exceeded thestress index threshold; may provide, to the application, a notificationindicating that the first stress index has reached or exceeded thethreshold; and in response to the notification, may reduce one or morestress inducing attributes associated with the application.

In one or more embodiments, accounting for the at least the portion ofthe graphic exceeding the brightness threshold may include reducingnumerical weight associated with a heart rate associated with the user.In one or more embodiments, the one or more systems, the one or moremethods, and/or the one or more processes may further: determine thebiometric data from the multiple people; determine the multiple meanhealth indicators from the biometric data from the plurality of people;and determine the baseline stress index from the multiple mean healthindicators from biometric data from the multiple people. In one or moreembodiments, the application may include a game. In one example,reducing the one or more stress inducing attributes associated with theapplication may include reducing one or more efficacies of one or moreopponent non-player characters associated with the application. Inanother example, reducing the one or more stress inducing attributesassociated with the application may include increasing one or moreefficacies of one or more ally non-player characters associated with theapplication.

In one or more embodiments, the historical biometric data associatedwith the user may include one or more of a heart rate variation, a heartrate, a respiration rate, a galvanic skin response, electrodermalactivity, a skin conductance response, a sympathetic skin response, ahorizontal gaze nystagmus, a pupil dilation, an electrodermal response,a psychogalvanic reflex, and a skin conductance level. In one or moreembodiments, the one or more systems, the one or more methods, and/orthe one or more processes may further: determine that the first stressindex associated with the user has not reached or exceeded the stressindex threshold; in response to determining that the first stress indexassociated with the user has not reached or exceeded the stress indexthreshold, collect the historical biometric data associated with theuser again; determine a second stress index associated with the user;determine if the second stress index associated with the user hasreached or exceeded the stress index threshold; if the second stressindex associated with the user has reached or exceeded the stress indexthreshold, provide, to the application, a second notification indicatingthat the second stress index has reached or exceeded the threshold; andif the second stress index associated with the user has not reached orexceeded the stress index threshold, collect the historical biometricdata associated with the user again.

BRIEF DESCRIPTION OF THE DRAWINGS

For a more complete understanding of the present disclosure and itsfeatures/advantages, reference is now made to the following description,taken in conjunction with the accompanying drawings, which are not drawnto scale, and in which:

FIG. 1A illustrates an example of an information handling system,according to one or more embodiments;

FIG. 1B illustrates an example of a user utilizing an informationhandling system, according to one or more embodiments;

FIG. 1C illustrates a second example of an information handling system,according to one or more embodiments;

FIG. 2 illustrates an example of a stress indicator system, according toone or more embodiments;

FIG. 3 illustrates an example of a method of modifying game content,according to one or more embodiments;

FIG. 4 illustrates an example of a method of utilizing a stressindicator system, according to one or more embodiments; and

FIG. 5 illustrates an example of a method of operating an informationhandling system, according to one or more embodiments.

DETAILED DESCRIPTION

In the following description, details are set forth by way of example tofacilitate discussion of the disclosed subject matter. It should beapparent to a person of ordinary skill in the field, however, that thedisclosed embodiments are examples and not exhaustive of all possibleembodiments.

As used herein, a reference numeral refers to a class or type of entity,and any letter following such reference numeral refers to a specificinstance of a particular entity of that class or type. Thus, forexample, a hypothetical entity referenced by ‘12A’ may refer to aparticular instance of a particular class/type, and the reference ‘12’may refer to a collection of instances belonging to that particularclass/type or any one instance of that class/type in general.

In one or more embodiments, video games may capture and/or may mimic oneor more facets of reality. Further, more immersive gaming experiencesmay be developed and may be provided to users. For example, virtualreality (VR) systems may capture and/or may mimic one or more facets ofreality and/or provide one or more immersive gaming experiences. In oneor more embodiments, electronic sports or “e-sports” (e.g., a form ofsport competition using video games) may utilize competitive biometricanalysis similar to that of traditional sports. In one or moreembodiments, equipment utilized with VR systems and/or augmented reality(AR) systems may be bulky and/or intrusive to users. In one or moreembodiments, one or more systems, one or more methods, and/or one ormore processes may utilize one or more non-invasive and/or embeddedsolutions for one or more incorporations of AR and/or VR.

In one or more embodiments, biometric data of a user may be remotelymeasured. For example, a stress level of the user may be determinedbased at least on the biometric data of the user. The stress level ofthe user may be utilized in one or more AR systems and/or one or more VRsystems. In one or more embodiments, a stress index (SI) of a user maybe determined based at least on biometric data associated with a user.For example, the SI associated with the user may be utilized as a proxyfor actual stress associated with the user and/or emotional or autonomicresponse within reality-simulating games and/or a performance or burnoutmonitor for competitive gamers.

In one or more embodiments, multiple biometrics may be determined todetermine a SI. For example, multiple biometrics may include a heartrate variation (HRV), a respiration rate (RR), a galvanic skin response(GSR), electrodermal activity (EDA), a skin conductance response (SCR),a sympathetic skin response (SSR), a horizontal gaze nystagmus (HGN), aneye gaze, pupil dilation, an electrodermal response (EDR), apsychogalvanic reflex (PGR), and a skin conductance level (SCL), amongothers. For instance, the HRV, the RR, the GSR, the EDA, the SCR, theSSR, the HGN, the eye gaze, the pupil dilation, the EDR, the PGR, and/orthe SCL, among others, may be determined via one or more objects (e.g.,a mouse, a joystick, a touchpad, a keyboard, etc.) that a user contactsand/or touches. In one or more embodiments, one or more systems, one ormore methods, and/or one or more processes may utilize a process thatmay measure a SI from one or more of the HRV, the RR, the GSR, the EDA,the SCR, the SSR, the HGN, the eye gaze, the pupil dilation, the EDR,the PGR, and the SCL, among others, responsiveness of gaming system toautonomic feedback by user, and historical records of gamer performanceand/or fatigue from one or more biometric perspectives.

In one or more embodiments, one or more systems, one or more methods,and/or one or more processes may utilize biometric collection processesto sample one or more of a HRV, a RR, a GSR, an EDA, a SCR, a SSR, aHGN, an eye gaze, a pupil dilation, an EDR, a PGR, and a SCL, amongothers, at a frequency. For example, the frequency may be 1 Hz. In oneor more embodiments, a baseline SI of a user may be determined. Forexample, a first time user may relax for a first period of time (e.g.,five minutes), and after the first time, biometric data of the firsttime user may be determined over a second period of time (e.g., oneminute). In one or more embodiments, after a process begins, a biometricdata sample may be compared and/or contrasted with historical biometricdata (e.g., one minute of historical biometric data) in determining a SIfor a user. In one or more embodiments, one or more systems, one or moremethods, and/or one or more processes may utilize a modified Baevsky'salgorithm.

In one or more embodiments, biometric data may be collected frommultiple players. For example, biometric data may be collected frommultiple players of multiple hour events such as gaming tournamentsand/or training sessions for competitive gaming. For instance,performance managers may monitor relative stress levels of multipleusers and/or may access historical records of the multiple users. In oneor more embodiments, to provide an immersive, reality-like experience,one or more systems, one or more methods, and/or one or more processesmay utilize a SI as a proxy for emotional feedback of users. Forexample, emotional simulation may be captured from gaming architectures,such as first person shoot (FPS) and/or horror genres. The emotionalsimulation may be incorporated into characters and/or avatars of a game.For instance, the characters and/or the avatars of the game may mirroruser feelings onto a screen and/or may close an AR emotional feedbackloop.

In one or more embodiments, tracking a stress level of a user mayinclude tracking a SI of the user. In one or more embodiments, one ormore systems, one or more methods, and/or one or more processes mayutilize tracking a stress level of a user to improve a performance ofthe user. For example, the one or more systems, the one or more methods,and/or the one or more processes may analyze the stress level of theuser to improve the performance of the user.

In one or more embodiments, a pursuit of quality in-game performancedisplayed by the demand for better processors and/or better graphicsprocessing units may extend to a demand for data-driven gamingperformance feedback and assessment. In one or more embodiments,integration of SI and biometrics within an information handling systemand adoption of biometrics tracking in e-sports may spawn one or more offull integration of biometrics, SI available to public and emotionalfeedback games, among others. In one or more embodiments, one or moresystems, one or more methods, and/or one or more processes may utilize acamera to determine biometric data associated with a user. For example,the camera may be configured to convert light to digital data. Forinstance, the camera may be configured to convert light in an infrared(IR) spectrum to digital data. As an example, the camera may be an IRcamera. In one or more embodiments, one or more systems, one or moremethods, and/or one or more processes may utilize photoplethysmography(PPG). For example, PPG may include an optical method and/or an opticalprocess of detecting and/or determining volumetric changes in blood inperipheral circulation. For instance, PPG may be non-invasive. As anexample, PPG may determine one or more measurements at a surface of skinof a person (e.g., a user).

In one or more embodiments, a stress level of a user may vary. Forexample, the stress level of the user may be high a first week and low asecond week. In one or more embodiments, stress levels of a user may bestored via a memory medium. For example, stress levels of a user may bestored via database. In one or more embodiments, one or more systems,one or more methods, and/or one or more processes may determine a meanstress level of the user over a period of time. For example, a mean maybe an arithmetic mean, a geometric mean, a harmonic mean, a generalizedmean, a weighted arithmetic mean, a weighted geometric mean, a weightedharmonic mean, a truncated mean, and an interquartile mean, amongothers.

Turning now to FIG. 1A, an example of an information handling system isillustrated, according to one or more embodiments. An informationhandling system (IHS) 110 may include a hardware resource or anaggregate of hardware resources operable to compute, classify, process,transmit, receive, retrieve, originate, switch, store, display,manifest, detect, record, reproduce, handle, and/or utilize variousforms of information, intelligence, or data for business, scientific,control, entertainment, or other purposes, according to one or moreembodiments. For example, IHS 110 may be a personal computer, a desktopcomputer system, a laptop computer system, a server computer system, amobile device, a tablet computing device, a personal digital assistant(PDA), a consumer electronic device, an electronic music player, anelectronic camera, an electronic video player, a wireless access point,a network storage device, or another suitable device and may vary insize, shape, performance, functionality, and price. In one or moreembodiments, a portable IHS 110 may include or have a form factor ofthat of or similar to one or more of a laptop, a notebook, a telephone,a tablet, and a PDA, among others. For example, a portable IHS 110 maybe readily carried and/or transported by a user (e.g., a person). In oneor more embodiments, components of IHS 110 may include one or morestorage devices, one or more communications ports for communicating withexternal devices as well as various input and output (I/O) devices, suchas a keyboard, a mouse, and a video display, among others. In one ormore embodiments, IHS 110 may include one or more buses operable totransmit communication between or among two or more hardware components.In one example, a bus of IHS 110 may include one or more of a memorybus, a peripheral bus, and a local bus, among others. In anotherexample, a bus of IHS 110 may include one or more of a Micro ChannelArchitecture (MCA) bus, an Industry Standard Architecture (ISA) bus, anEnhanced ISA (EISA) bus, a Peripheral Component Interconnect (PCI) bus,HyperTransport (HT) bus, an inter-integrated circuit (I²C) bus, a serialperipheral interface (SPI) bus, a low pin count (LPC) bus, an enhancedserial peripheral interface (eSPI) bus, a universal serial bus (USB), asystem management bus (SMBus), and a Video Electronics StandardsAssociation (VESA) local bus, among others.

In one or more embodiments, IHS 110 may include firmware that controlsand/or communicates with one or more hard drives, network circuitry, oneor more memory devices, one or more I/O devices, and/or one or moreother peripheral devices. For example, firmware may include softwareembedded in an IHS component utilized to perform tasks. In one or moreembodiments, firmware may be stored in non-volatile memory, such asstorage that does not lose stored data upon loss of power. In oneexample, firmware associated with an IHS component may be stored innon-volatile memory that is accessible to one or more IHS components. Inanother example, firmware associated with an IHS component may be storedin non-volatile memory that may be dedicated to and includes part ofthat component. For instance, an embedded controller may includefirmware that may be stored via non-volatile memory that may bededicated to and includes part of the embedded controller.

As shown, IHS 110 may include a processor 120, a volatile memory medium150, non-volatile memory media 160 and 170, an I/O subsystem 175, and anetwork interface 180. As illustrated, volatile memory medium 150,non-volatile memory media 160 and 170, I/O subsystem 175, and networkinterface 180 may be communicatively coupled to processor 120.

In one or more embodiments, one or more of volatile memory medium 150,non-volatile memory media 160 and 170, I/O subsystem 175, and networkinterface 180 may be communicatively coupled to processor 120 via one ormore buses, one or more switches, and/or one or more root complexes,among others. In one example, one or more of volatile memory medium 150,non-volatile memory media 160 and 170, I/O subsystem 175, and networkinterface 180 may be communicatively coupled to processor 120 via one ormore PCI-Express (PCIe) root complexes. In another example, one or moreof I/O subsystem 175 and network interface 180 may be communicativelycoupled to processor 120 via one or more PCIe switches.

In one or more embodiments, the term “memory medium” may mean a “storagedevice”, a “memory”, a “memory device”, a “tangible computer readablestorage medium”, and/or a “computer-readable medium”. For example,computer-readable media may include, without limitation, storage mediasuch as a direct access storage device (e.g., a hard disk drive, afloppy disk, etc.), a sequential access storage device (e.g., a tapedisk drive), a compact disk (CD), a CD-ROM, a digital versatile disc(DVD), a random access memory (RAM), a read-only memory (ROM), aone-time programmable (OTP) memory, an electrically erasableprogrammable read-only memory (EEPROM), and/or a flash memory, a solidstate drive (SSD), or any combination of the foregoing, among others.

In one or more embodiments, one or more protocols may be utilized intransferring data to and/or from a memory medium. For example, the oneor more protocols may include one or more of small computer systeminterface (SCSI), Serial Attached SCSI (SAS) or another transport thatoperates with the SCSI protocol, advanced technology attachment (ATA),serial ATA (SATA), a USB interface, an Institute of Electrical andElectronics Engineers (IEEE) 1394 interface, a Thunderbolt interface, anadvanced technology attachment packet interface (ATAPI), serial storagearchitecture (SSA), integrated drive electronics (IDE), or anycombination thereof, among others.

Volatile memory medium 150 may include volatile storage such as, forexample, RAM, DRAM (dynamic RAM), EDO RAM (extended data out RAM), SRAM(static RAM), etc. One or more of non-volatile memory media 160 and 170may include nonvolatile storage such as, for example, a read only memory(ROM), a programmable ROM (PROM), an erasable PROM (EPROM), anelectrically erasable PROM, NVRAM (non-volatile RAM), ferroelectric RAM(FRAM), a magnetic medium (e.g., a hard drive, a floppy disk, a magnetictape, etc.), optical storage (e.g., a CD, a DVD, a BLU-RAY disc, etc.),flash memory, a SSD, etc. In one or more embodiments, a memory mediumcan include one or more volatile storages and/or one or more nonvolatilestorages.

In one or more embodiments, network interface 180 may be utilized incommunicating with one or more networks and/or one or more otherinformation handling systems. In one example, network interface 180 mayenable IHS 110 to communicate via a network utilizing a suitabletransmission protocol and/or standard. In a second example, networkinterface 180 may be coupled to a wired network. In a third example,network interface 180 may be coupled to an optical network. In anotherexample, network interface 180 may be coupled to a wireless network. Inone instance, the wireless network may include a cellular telephonenetwork. In a second instance, the wireless network may include asatellite telephone network. In another instance, the wireless networkmay include a wireless Ethernet network (e.g., a Wi-Fi network, an IEEE802.11 network, etc.).

In one or more embodiments, network interface 180 may be communicativelycoupled via a network to a network storage resource. For example, thenetwork may be implemented as, or may be a part of, a storage areanetwork (SAN), personal area network (PAN), local area network (LAN), ametropolitan area network (MAN), a wide area network (WAN), a wirelesslocal area network (WLAN), a virtual private network (VPN), an intranet,an Internet or another appropriate architecture or system thatfacilitates the communication of signals, data and/or messages(generally referred to as data). For instance, the network may transmitdata utilizing a desired storage and/or communication protocol,including one or more of Fibre Channel, Frame Relay, AsynchronousTransfer Mode (ATM), Internet protocol (IP), other packet-basedprotocol, Internet SCSI (iSCSI), or any combination thereof, amongothers.

In one or more embodiments, processor 120 may execute processorinstructions in implementing at least a portion of one or more systems,at least a portion of one or more flowcharts, at least a portion of oneor more methods, and/or at least a portion of one or more processesdescribed herein. In one example, processor 120 may execute processorinstructions from one or more of memory media 150, 160, and 170 inimplementing at least a portion of one or more systems, at least aportion of one or more flowcharts, at least a portion of one or moremethods, and/or at least a portion of one or more processes describedherein. In another example, processor 120 may execute processorinstructions via network interface 180 in implementing at least aportion of one or more systems, at least a portion of one or moreflowcharts, at least a portion of one or more methods, and/or at least aportion of one or more processes described herein.

In one or more embodiments, processor 120 may include one or more of asystem, a device, and an apparatus operable to interpret and/or executeprogram instructions and/or process data, among others, and may includeone or more of a microprocessor, a microcontroller, a digital signalprocessor (DSP), an application specific integrated circuit (ASIC), andanother digital or analog circuitry configured to interpret and/orexecute program instructions and/or process data, among others. In oneexample, processor 120 may interpret and/or execute program instructionsand/or process data stored locally (e.g., via memory media 150, 160, and170 and/or another component of IHS 110). In another example, processor120 may interpret and/or execute program instructions and/or processdata stored remotely (e.g., via a network storage resource).

In one or more embodiments, I/O subsystem 175 may represent a variety ofcommunication interfaces, graphics interfaces, video interfaces, userinput interfaces, and/or peripheral interfaces, among others. Forexample, I/O subsystem 175 may include one or more of a touch panel anda display adapter, among others. For instance, a touch panel may includecircuitry that enables touch functionality in conjunction with a displaythat is driven by a display adapter.

As shown, non-volatile memory medium 160 may include an operating system(OS) 162, and applications (APPs) 164-168. In one or more embodiments,one or more of OS 162 and APPs 164-168 may include processorinstructions executable by processor 120. In one example, processor 120may execute processor instructions of one or more of OS 162 and APPs164-168 via non-volatile memory medium 160. In another example, one ormore portions of the processor instructions of the one or more of OS 162and APPs 164-168 may be transferred to volatile memory medium 150, andprocessor 120 may execute the one or more portions of the processorinstructions of the one or more of OS 162 and APPs 164-168 via volatilememory medium 150.

As illustrated, non-volatile memory medium 170 may include informationhandling system firmware (IHSFW) 172. In one or more embodiments, IHSFW172 may include processor instructions executable by processor 120. Forexample, IHSFW 172 may include one or more structures and/or one or morefunctionalities of and/or compliant with one or more of a basicinput/output system (BIOS), an Extensible Firmware Interface (EFI), aUnified Extensible Firmware Interface (UEFI), and an AdvancedConfiguration and Power Interface (ACPI), among others. In one instance,processor 120 may execute processor instructions of IHSFW 172 vianon-volatile memory medium 170. In another instance, one or moreportions of the processor instructions of IHSFW 172 may be transferredto volatile memory medium 150, and processor 120 may execute the one ormore portions of the processor instructions of IHSFW 172 via volatilememory medium 150.

In one or more embodiments, processor 120 and one or more components ofIHS 110 may be included in a system-on-chip (SoC). For example, the SoCmay include processor 120 and a platform controller hub (notspecifically illustrated).

Turning now to FIG. 1B, an example of a user utilizing an informationhandling system is illustrated, according to one or more embodiments. Asshown, a user 190 (e.g., a person) may utilize an IHS 110. In one ormore embodiments, IHS 110 may include an eye tracking device. Forexample, the eye tracking device may be communicatively coupled toprocessor 120. In one or more embodiments, one or more of camera 184 andthe eye tracking device, among others, may track eyes 193A and 193B ofuser 190. In one example, one or more of a camera 184 (illustrated inFIG. 1C) and the eye tracking device, among others, may track a pupil194 of an eye 193. In a second example, one or more of camera 184 andthe eye tracking device, among others, may track a center 195 of a pupil194 of an eye 193. In another example, one or more of camera 184 and theeye tracking device, among others, may track an iris 196 of an eye 193.

In one or more embodiments, one or more of eyes 193A and 193B may beilluminated. For example, IHS 110 may provide light emissions to the oneor more of eyes 193A and 193B to illuminate the one or more of eyes 193Aand 193B. For instance, the light emissions provided to the one or moreof eyes 193A and 193B may be outside a visible spectrum of the one ormore of eyes 193A and 193B. As an example, the light emissions providedto the one or more of eyes 193A and 193B may be infrared lightemissions. For instance, one or more light emitting diodes (LEDs) mayprovide the infrared light emissions. In one or more embodiments, IHS110 may include or be coupled to the one or more LEDs that may providethe infrared light emissions.

In one or more embodiments, one or more of camera 184 and sensors 185,among others, may be utilized in determining a location eyes 193A and193B are with respect to a field of view 197. In one or moreembodiments, a field of view of camera 184 may include field of view197. In one or more embodiments, one or more of camera 184 and sensors185, among others, may be utilized in determining gaze points 192A-192D.As shown, gaze points 192A and 192B may be associated with locations ofdisplay 182. As illustrated, gaze points 192C and 192D may be associatedwith locations that are outside display 182. In one or more embodiments,a location of user 190 with respect to field of view 197 may bedetermined based at least on the location eyes 193A and 193B withrespect to field of view 197. In one or more embodiments, a sensor 185may include one or more of an accelerometer, a magnetometer, a ToFdevice (e.g., a RADAR device, a LiDAR (light detecting and ranging)device, a SONAR (sound navigation ranging) device, etc.), an eyetracker, a proximity sensor, a temperature sensor, an ambient lightsensor, a microphone, a gas sensor (e.g., a volatile organic compoundsensor, a CO₂ sensor, an O₂ sensor, a carbon monoxide sensor, etc.), andan electronic gyroscope, among others.

Turning now to FIG. 1C, a second example of an information handlingsystem is illustrated, according to one or more embodiments. As shown,IHS 110 may include a camera 184. In one or more embodiments, camera 184may be communicatively coupled to processor 120. As illustrated, IHS 110may include a ToF sensor 187. In one or more embodiments, ToF sensor 187may be communicatively coupled to processor 120. Although FIGS. 1B and1C illustrate IHS 110 as including display 182, camera 184, and sensors185, one or more of display 182, camera 184, and sensors 185, amongothers, may be external to IHS 110, according to one or moreembodiments. For example, one or more of display 182, camera 184, andsensors 185, among others, may be coupled to IHS 110 via a wired fashionand/or one or more of display 182, camera 184, and sensors 185, amongothers, may be coupled to IHS 110 via a wireless fashion.

Turning now to FIG. 2, an example of a stress indicator system isillustrated, according to one or more embodiments. In one or moreembodiments, an IHS 110 may implement one or more portions of a stressindicator system. As shown, feedback 210A-210C may be respectivelycollected from users 190A-190C. As illustrated, feedback 210A-210C mayrespectively include biometric data 212A-212C. For example, biometricdata 212A-212C may be respectively collected from users 190A-190C. Inone or more embodiments, biometric data 212 may include one or more of aheart rate variation, a respiration rate, a galvanic skin response,electrodermal activity, a skin conductance response, a sympathetic skinresponse, a horizontal gaze nystagmus, an eye gaze, a pupil dilation, anelectrodermal response, a psychogalvanic reflex, and a skin conductancelevel, among others.

In one or more embodiments, baseline detection 220 may includedetermining biometric data from multiple people. For example, baselinedetection 220 may determine one or more means of the biometric data fromthe multiple people. For instance, baseline detection 220 may determineone or more baselines of health and/or one or more baselines of stresslevels based at least one the one or more means of the biometric datafrom the multiple people. As an example, a mean of means of biometricdata may be an arithmetic mean, a geometric mean, a harmonic mean, ageneralized mean, a weighted arithmetic mean, a weighted geometric mean,a weighted harmonic mean, a truncated mean, and an interquartile mean,among others. In one or more embodiments, determining the one or morebaselines of health and/or the one or more baselines of stress levelsmay include determining biometric data from the multiple people as theyparticipate in one or more activities. For example, one or moreactivities may include routine office work (e.g., sitting at a desk,replying to email, etc.).

In one or more embodiments, baseline detection 220 may assign numericalvalues to the one or more baselines of health and/or the one or morebaselines of stress levels associated with the multiple people. In oneor more embodiments, a context-based stress detector 240 may receivedata from biometric data 212A-212C, baseline detection 220, and activityrecognizer 230, among others. As an example, biometric data 212A-212Cmay include one or more of a heart rate variation, a respiration rate, agalvanic skin response, electrodermal activity, a skin conductanceresponse, a sympathetic skin response, a horizontal gaze nystagmus, apupil dilation, an electrodermal response, a psychogalvanic reflex, anda skin conductance level, among others. In one or more embodiments,context-based stress detector 240 may provide data to a system detection250. In one or more embodiments, system detection 250 may receive thedata from context-based stress detector 240 and may receive data from ahistorical game context stress and multi-player stress from network asfeedback 260.

In one or more embodiments, system detection 250 may utilize an equation252 to determine a stress index, where AMo is an amplitude mode nominalindex of activity of sympathetic chain regulation, Mo is a mode ofpresumable level of cardiovascular function, and MxDMn is a differencebetween maximum and minimum values of cardio intervals. For example,system detection 250 may utilize data from context-based stress detector240 and data from historical game context stress and multi-player stressfrom network as feedback 260 with equation 252. In one or moreembodiments, one or more of AMo, Mo, and MxDMn may be frequency domainmeasurements. In one or more embodiments, one or more measurements ofbiometric data may be determined in a frequency domain. For example,heart rate and respiration rate associated with a user 190 may bedetermined in a frequency domain. In one or more embodiments, a graph270 illustrates plots 280A-280E of SI over a period of twenty-fourhours. For example, plots 280A-280E of SI may be associated withmultiple people. For instance, plots 280A-280C of SI may be respectivelyassociated with users 190A-190C.

Turning now to FIG. 4, an example of a method of utilizing a stressindicator system is illustrated, according to one or more embodiments.At 410, it may be determined if historical biometric data is present.For example, it may be determined if historical biometric dataassociated with a user 190 is stored in a memory medium. For instance,it may be determined if historical biometric data associated with a user190 is stored in a database. If the historical biometric data is notpresent, a user may relax for a period of time, at 412. For example, theuser may engage in a guided meditation for a period of time.

At 414, biometric data associated with the user may be collected. Forexample, biometric data associated with user 190 may be collected. Forinstance, one or more of a heart rate variation, a respiration rate, agalvanic skin response, electrodermal activity, a skin conductanceresponse, a sympathetic skin response, a horizontal gaze nystagmus, apupil dilation, an electrodermal response, a psychogalvanic reflex, anda skin conductance level, among others, associated with user 190 may becollected. In one or more embodiments, collecting biometric dataassociated with the user may include measuring biometric data associatedwith the user. In one or more embodiments, the method may proceed to416. If the historical biometric data is present, biometric dataassociated with the user may be collected at a frequency, at 416. Forexample, biometric data associated with user 190 at a frequency of 1 Hz.In one instance, the biometric data associated with user 190 may includeone or more of heart rate variation, respiration rate, and galvanic skinresponse, among others. In another instance, the biometric dataassociated with user 190 may include one or more of AMo, Mo, and MxDMn,among others.

At 418, a stress index associated with the user may be determined. Forexample, a stress index associated with user 190 may be determined. Inone or more embodiments, determining a stress index associated with theuser may include determining the stress index associated with the uservia equation 252. At 420, it may be determined if the stress index hasreached or exceeded a threshold. If the stress index has reached orexceeded the threshold, a notification indicating that the stress indexhas reached or exceeded the threshold may be provided, at 422. Forexample, a notification indicating that the stress index has reached orexceeded the threshold may be provided to one or more listeners. Forinstance, the one or more listeners may be listening for one or moreevents, which indicate that the stress index has reached or exceeded thethreshold. In one or more embodiments, a listener may include anapplication and/or a game. If the stress index has not reached orexceeded the threshold, the method may proceed to 416, according to oneor more embodiments.

Turning now to FIG. 3, an example of a method of modifying game contentis illustrated, according to one or more embodiments. In one or moreembodiments, an emotional response may be elicited, at 310. For example,IHS 110 may elicit an emotional response from user 190. For instance, agame (e.g., an application, a program, etc.) executed by IHS 110 mayelicit an emotional response from user 190. As an example, the emotionalresponse may increase a stress index of user 190. As another example,the emotional response may decrease a stress index of user 190.

In one or more embodiments, the emotional response may be detected, at312. For example, the emotional response may be detected via biometricdata associated with user 190. In one or more embodiments, a model maybe created based at least on the emotional response associated with user190. In one or more embodiments, the game may adapt to the stress indexassociated with user 190, at 314. For example, the game may adapt to thestress index associated with user 190 based at least on the modelassociated with user 190. As an example, if the stress index associatedwith user 190 meets or exceeds a first threshold, the game may adapt toreduce the stress index associated with user 190. For instance, the gamemay reduce one or more efficacies of one or more non-player characters(NPCs) of the game, at 316. As another example, if the stress indexassociated with user 190 is below or meets a second threshold, the gamemay adapt to increase the stress index associated with user 190. Forinstance, the game may increase one or more efficacies of one or moreNPCs of the game. In one or more embodiments, the first threshold may bedifferent from the second threshold, or the first threshold may be thesecond threshold. In one or more embodiments, one or more NPCs may beone or more allies in the game. For example, the one or more allies maybehave in accordance with the stress index associated with user 190. Inone or more embodiments, one or more NPCs may be one or more enemies inthe game. For example, the one or more enemies may behave in accordancewith the stress index associated with user 190. In one or moreembodiments, game content may adapt to the stress index associated withuser 190, at 318.

Turning now to FIG. 5, an example of a method of operating aninformation handling system is illustrated, according to one or moreembodiments. At 510, it may be determined if historical biometric dataassociated with a user is available. For example, it may be determinedif historical biometric data associated with a user 190 is available. Inone or more embodiments, determining if the historical biometric dataassociated with the user is available may include searching a memorymedium for the historical biometric data associated with the user. Forexample, determining if the historical biometric data associated withthe user is available may include searching a database for thehistorical biometric data associated with the user.

If the historical biometric data associated with the user is notavailable, the historical biometric data associated with the user may becollected, at 515. In one or more embodiments, collecting the biometricdata associated with the user may include measuring the biometric dataassociated with the user. For example, the biometric data associatedwith the user may be measured via one or more devices and/or one or moresystems described herein. In one or more embodiments, the method mayproceed to 525. If the historical biometric data associated with theuser is available, the historical biometric data associated with theuser may be retrieved from a memory medium. For example, the historicalbiometric data associated with user 190 may be retrieved from a memorymedium. In one or more embodiments, retrieving the historical biometricdata associated with user 190 from the memory medium may includeretrieving the historical biometric data associated with user 190 from adatabase.

At 525, an application may be executed by at least one processor of aninformation handling system. For example, APP 164 may be executed by atleast one processor 120 of IHS 110. In one or more embodiments, APP 164may include a game. In one or more embodiments, APP 164 may include afirst person shooter game. In one or more embodiments, APP 164 mayinclude at least one of an AR application and a VR application, amongothers. For example, the at least one of the AR application and the VRapplication may include a first person shooter game.

At 530, at least a portion of a graphic may be displayed by theapplication via a display. For example, APP 164 may display at least aportion of a graphic via display 182. At 535, it may be determined thatthe at least the portion of the graphic exceeds a brightness threshold.For example, it may be determined that the at least the portion of thegraphic exceeds a threshold number of nits. For instance, a brightnesslevel may be measured in nits.

At 540, it may be determined that a gaze of the user includes the atleast the portion of the graphic. For example, it may be determined thata gaze of user 190 includes the at least the portion of the graphic. Forinstance, determining that the gaze of user 190 includes the at leastthe portion of the graphic may include determining that user 190 islooking at the at least the portion of the graphic. As an example,determining that the gaze of user 190 includes the at least the portionof the graphic may include determining a gaze point 192 and determiningthat gaze point 192 intersects the at least the portion of the graphic.For instance, determining that the gaze of user 190 includes the atleast the portion of the graphic may include determining gaze point 192Band determining that gaze point 192B intersects the at least the portionof the graphic.

At 545, a stress index threshold may be determined based at least on abaseline stress index, which is determined from multiple mean healthindicators from biometric data from multiple people, and based at leaston the historical biometric data associated with the user. In one ormore embodiments, baseline detection 220 may determine a stress indexthreshold based at least on a baseline stress index, which is determinedfrom multiple mean health indicators from biometric data from multiplepeople, and based at least on the historical biometric data associatedwith user 190. In one or more embodiments, baseline detection 220 maythe multiple mean health indicators from the biometric data from themultiple people.

At 550, a first stress index associated with the user may be determined,accounting for the at least the portion of the graphic exceeding thebrightness threshold. For example, system detection 250 may determine afirst stress index associated with user 190, accounting for the at leastthe portion of the graphic exceeding the brightness threshold. Forinstance, system detection 250 may utilize equation 252 to determine thefirst stress index associated with user 190.

In one or more embodiments, the accounting for the at least the portionof the graphic exceeding the brightness threshold may include reducingnumerical weight associated with a heart rate associated with the user.For example, the heart rate associated with the user may increase whenthe user observes light emissions at or above a brightness level. Forinstance, the increase in the heart rate associated with the user maynot be indicative of a stress level. As an example, if the heart rateassociated with the user increased when the user observes lightemissions at or above a brightness level, an incorrect stress index or abiased stress index associated with the user may be determined. In oneor more embodiments, while the heart rate associated with the user maybe utilized in determining a stress index associated with the user, aninfluence of the heart rate associated with the user may be reduced whendetermining the stress index associated with the user when it isdetermined that the user is observing light emissions at or above abrightness level. In one example, a measurement of the heart rateassociated with the user may be multiplied by a number between zero (0)and one (1) when it is determined that the user is observing lightemissions at or above a brightness level. In one example, a valueassociated with the heart rate associated with the user may bemultiplied by a number between zero (0) and one (1) when it isdetermined that the user is observing light emissions at or above abrightness level.

At 555, it may be determined that the first stress index associated withthe user has reached or exceeded the stress index threshold. At 560, anotification indicating that the first stress index has reached orexceeded the threshold may be provided to the application. For example,a notification indicating that the first stress index has reached orexceeded the threshold may be provided to APP 164. For instance, APP 164may be listening for the notification indicating that the first stressindex has reached or exceeded the threshold. As an example, APP 164 maybe listening for one or more events. For instance, at least one of theone or more events may include the notification indicating that thefirst stress index has reached or exceeded the threshold.

At 565, one or more stress inducing attributes associated with theapplication may be reduced. For example, one or more stress inducingattributes associated with APP 164 may be reduced. In one instance,reducing the one or more stress inducing attributes associated with theapplication may include reducing one or more efficacies of one or moreopponent non-player characters associated with APP 164. In anotherinstance, reducing the one or more stress inducing attributes associatedwith the application includes increasing one or more efficacies of oneor more ally non-player characters associated with APP 164. In one ormore embodiments, reducing one or more stress inducing attributesassociated with the application may be performed in response to thenotification. For example, reducing one or more stress inducingattributes associated with the application may be performed in responseto receiving the notification. For instance, the application may receivethe notification.

In one or more embodiments, one or more of the method and/or processelements and/or one or more portions of a method and/or a processelement may be performed in varying orders, may be repeated, or may beomitted. Furthermore, additional, supplementary, and/or duplicatedmethod and/or process elements may be implemented, instantiated, and/orperformed as desired, according to one or more embodiments. Moreover,one or more of system elements may be omitted and/or additional systemelements may be added as desired, according to one or more embodiments.

In one or more embodiments, a memory medium may be and/or may include anarticle of manufacture. For example, the article of manufacture mayinclude and/or may be a software product and/or a program product. Forinstance, the memory medium may be coded and/or encoded withprocessor-executable instructions in accordance with at least a portionof one or more flowcharts, at least a portion of one or more systems, atleast a portion of one or more methods, and/or at least a portion of oneor more processes described herein to produce the article ofmanufacture.

The above disclosed subject matter is to be considered illustrative, andnot restrictive, and the appended claims are intended to cover all suchmodifications, enhancements, and other embodiments which fall within thetrue spirit and scope of the present disclosure. Thus, to the maximumextent allowed by law, the scope of the present disclosure is to bedetermined by the broadest permissible interpretation of the followingclaims and their equivalents, and shall not be restricted or limited bythe foregoing detailed description.

What is claimed is:
 1. An information handling system, comprising: atleast one processor; and a first memory medium, coupled to the at leastone processor, that stores instructions executable by the at least oneprocessor, which when executed by the at least one processor, cause theinformation handling system to: determine if historical biometric dataassociated with a user is available; if the historical biometric dataassociated with the user is not available, collect the historicalbiometric data associated with the user; if the historical biometricdata associated with the user is available, retrieve the historicalbiometric data associated with the user from a second memory medium;execute, by the at least one processor, an application; display, by theapplication via a display, at least a portion of a graphic; determinethat the at least the portion of the graphic exceeds a brightnessthreshold; determine that a gaze of the user includes the at least theportion of the graphic; determine a stress index threshold based atleast on a baseline stress index, which is determined from a pluralityof mean health indicators from biometric data from a plurality ofpeople, and based at least on the historical biometric data associatedwith the user; determine a first stress index associated with the user,accounting for the at least the portion of the graphic exceeds thebrightness threshold; determine that the first stress index associatedwith the user has reached or exceeded the stress index threshold;provide, to the application, a notification indicating that the firststress index has reached or exceeded the threshold; and in response tothe notification, reduce one or more stress inducing attributesassociated with the application.
 2. The information handling system ofclaim 1, wherein the accounting for the at least the portion of thegraphic exceeding the brightness threshold includes reducing numericalweight associated with a heart rate associated with the user.
 3. Theinformation handling system of claim 1, wherein the instructions furthercause the information handling system to: determine the biometric datafrom the plurality of people; determine the plurality of mean healthindicators from the biometric data from the plurality of people; anddetermine the baseline stress index from the plurality of mean healthindicators from biometric data from the plurality of people.
 4. Theinformation handling system of claim 1, wherein the application includesa game; and wherein, to reduce the one or more stress inducingattributes associated with the application, the instructions furthercause the information handling system to reduce one or more efficaciesof one or more opponent non-player characters associated with theapplication.
 5. The information handling system of claim 1, wherein theapplication includes a game; and wherein, to reduce the one or morestress inducing attributes associated with the application, theinstructions further cause the information handling system to increaseone or more efficacies of one or more ally non-player charactersassociated with the application.
 6. The information handling system ofclaim 1, wherein the historical biometric data associated with the userincludes one or more of a heart rate variation, a heart rate, arespiration rate, a galvanic skin response, electrodermal activity, askin conductance response, a sympathetic skin response, a horizontalgaze nystagmus, a pupil dilation, an electrodermal response, apsychogalvanic reflex, and a skin conductance level.
 7. The informationhandling system of claim 1, wherein the instructions further cause theinformation handling system to: determine that the first stress indexassociated with the user has not reached or exceeded the stress indexthreshold; in response to determining that the first stress indexassociated with the user has not reached or exceeded the stress indexthreshold, collect the historical biometric data associated with theuser again; determine a second stress index associated with the user;determine if the second stress index associated with the user hasreached or exceeded the stress index threshold; if the second stressindex associated with the user has reached or exceeded the stress indexthreshold, provide, to the application, a second notification indicatingthat the second stress index has reached or exceeded the threshold; andif the second stress index associated with the user has not reached orexceeded the stress index threshold, collect the historical biometricdata associated with the user again.
 8. A method, comprising:determining if historical biometric data associated with a user isavailable; if the historical biometric data associated with the user isnot available, collecting the historical biometric data associated withthe user; if the historical biometric data associated with the user isavailable, retrieving the historical biometric data associated with theuser from a memory medium; executing, by at least one processor of aninformation handling system, an application; displaying, by theapplication via a display, at least a portion of a graphic; determiningthat the at least the portion of the graphic exceeds a brightnessthreshold; determining that a gaze of the user includes the at least theportion of the graphic; determining a stress index threshold based atleast on a baseline stress index, which is determined from a pluralityof mean health indicators from biometric data from a plurality ofpeople, and based at least on the historical biometric data associatedwith the user; determining a first stress index associated with theuser, accounting for the at least the portion of the graphic exceedingthe brightness threshold; determining that the first stress indexassociated with the user has reached or exceeded the stress indexthreshold; providing, to the application, a notification indicating thatthe first stress index has reached or exceeded the threshold; and inresponse to the notification, reducing one or more stress inducingattributes associated with the application.
 9. The method of claim 8,wherein the accounting for the at least the portion of the graphicexceeding the brightness threshold includes reducing numerical weightassociated with a heart rate associated with the user.
 10. The method ofclaim 8, further comprising: determining the biometric data from theplurality of people; determining the plurality of mean health indicatorsfrom the biometric data from the plurality of people; and determiningthe baseline stress index from the plurality of mean health indicatorsfrom biometric data from the plurality of people.
 11. The method ofclaim 8, wherein the application includes a game; and wherein thereducing the one or more stress inducing attributes associated with theapplication includes reducing one or more efficacies of one or moreopponent non-player characters associated with the application.
 12. Themethod of claim 8, wherein the application includes a game; and whereinthe reducing the one or more stress inducing attributes associated withthe application includes increasing one or more efficacies of one ormore ally non-player characters associated with the application.
 13. Themethod of claim 8, wherein the historical biometric data associated withthe user includes one or more of a heart rate variation, a heart rate, arespiration rate, a galvanic skin response, electrodermal activity, askin conductance response, a sympathetic skin response, a horizontalgaze nystagmus, a pupil dilation, an electrodermal response, apsychogalvanic reflex, and a skin conductance level.
 14. The method ofclaim 8, further comprising: determining that the first stress indexassociated with the user has not reached or exceeded the stress indexthreshold; in response to the determining that the first stress indexassociated with the user has not reached or exceeded the stress indexthreshold, repeating the collecting the historical biometric dataassociated with the user; determining a second stress index associatedwith the user; determining if the second stress index associated withthe user has reached or exceeded the stress index threshold; if thesecond stress index associated with the user has reached or exceeded thestress index threshold, providing, to the application, a secondnotification indicating that the second stress index has reached orexceeded the threshold; and if the second stress index associated withthe user has not reached or exceeded the stress index threshold,repeating the collecting the historical biometric data associated withthe user.
 15. A computer-readable non-transitory memory medium thatincludes instructions that, when executed by at least one processor ofan information handling system, cause the information handling systemto: determine if historical biometric data associated with a user isavailable; if the historical biometric data associated with the user isnot available, collect the historical biometric data associated with theuser; if the historical biometric data associated with the user isavailable, retrieve the historical biometric data associated with theuser from a second memory medium; execute, by the at least oneprocessor, an application; display, by the application via a display, atleast a portion of a graphic; determine that the at least the portion ofthe graphic exceeds a brightness threshold; determine that a gaze of theuser includes the at least the portion of the graphic; determine astress index threshold based at least on a baseline stress index, whichis determined from a plurality of mean health indicators from biometricdata from a plurality of people, and based at least on the historicalbiometric data associated with the user; determine a first stress indexassociated with the user, accounting for the at least the portion of thegraphic exceeds the brightness threshold; determine that the firststress index associated with the user has reached or exceeded the stressindex threshold; provide, to the application, a notification indicatingthat the first stress index has reached or exceeded the threshold; andin response to the notification, reduce one or more stress inducingattributes associated with the application.
 16. The computer-readablenon-transitory memory medium of claim 15, wherein the accounting for theat least the portion of the graphic exceeding the brightness thresholdincludes reducing numerical weight associated with a heart rateassociated with the user.
 17. The computer-readable non-transitorymemory medium of claim 15, wherein the instructions further cause theinformation handling system to: determine the biometric data from theplurality of people; determine the plurality of mean health indicatorsfrom the biometric data from the plurality of people; and determine thebaseline stress index from the plurality of mean health indicators frombiometric data from the plurality of people.
 18. The computer-readablenon-transitory memory medium of claim 15, wherein the applicationincludes a game; and wherein, to reduce the one or more stress inducingattributes associated with the application, the instructions furthercause the information handling system to reduce one or more efficaciesof one or more opponent non-player characters associated with theapplication.
 19. The computer-readable non-transitory memory medium ofclaim 15, wherein the application includes a game; and wherein, toreduce the one or more stress inducing attributes associated with theapplication, the instructions further cause the information handlingsystem to increase one or more efficacies of one or more ally non-playercharacters associated with the application.
 20. The computer-readablenon-transitory memory medium of claim 15, wherein the historicalbiometric data associated with the user includes one or more of a heartrate variation, a heart rate, a respiration rate, a galvanic skinresponse, electrodermal activity, a skin conductance response, asympathetic skin response, a horizontal gaze nystagmus, a pupildilation, an electrodermal response, a psychogalvanic reflex, and a skinconductance level.